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Online since: January 2005
Authors: Hae Ryung Kim, Jaihyun Seu, Hamid Arastoopour
The formation of
agglomerates or clusters results in a reduction in the number and an increase in the size of particles,
both of which directly affect the frequency of inter-particle collisions and, in turn, the particle phase
properties such as viscosity and pressure, as well as gas/particle drag force in gas/particle flow
systems.
S Chou: A Theory for Grain-Size Reduction in Granular Flows of Spheres, J.
S Chou: A Theory for Grain-Size Reduction in Granular Flows of Spheres, J.
Online since: March 2006
Authors: Wei Li, Jun Quan Liu, Xiaohui Tu, Jun Yi Su
Corrosion of the testing materials was composed of active dissolving corrosion of the
metal matrix and caustic embrittlement cracking of the matrix, as well as grain boundary corrosion for the cast iron.
The corrosion rate at each stage can be calculated using the following equation: n nn n t ww v ∆ − = −1 Where Vn is the corrosion rate (g·m -2·h -1) of number n stage, ∆tn is time duration of the weighing between number n and number n-1.
The corrosion rate at each stage can be calculated using the following equation: n nn n t ww v ∆ − = −1 Where Vn is the corrosion rate (g·m -2·h -1) of number n stage, ∆tn is time duration of the weighing between number n and number n-1.
Online since: August 2015
Authors: Ahmad Falahati, Piotr Warczok, Ernst Kozeschnik, Thomas Ebner, Thomas Weisz
Liang et al. [21] suggested that clusters start to coagulate after several minutes, which has a tremendous effect on the average cluster size and number density.
Fig. 4 represents the number density evolution of the clusters, where the dashed line corresponds to a simulation not taking into account coalescence.
When the coalescence model is used, the number density remains lower and in the order of the experiment.
The mean-radius of clusters remains too small when coalescence is not taken into account, which also explains a too high number density.
Nevertheless, it is shown that the implementation of the coalescence model leads to acceptable results concerning number and size of Mg-Si clusters.
Fig. 4 represents the number density evolution of the clusters, where the dashed line corresponds to a simulation not taking into account coalescence.
When the coalescence model is used, the number density remains lower and in the order of the experiment.
The mean-radius of clusters remains too small when coalescence is not taken into account, which also explains a too high number density.
Nevertheless, it is shown that the implementation of the coalescence model leads to acceptable results concerning number and size of Mg-Si clusters.
Online since: March 2015
Authors: De Long Wu, Ying Liang Tian, Shu Guang Guo
Table 1 The drying temperature of release agent and time
Serial number
1-1
1-2
1-3
1-4
1-5
1-6
Temperature(˚C)
25
60
100
150
200
250
Time(min)
15
15
15
15
15
15
Table 2 The temperature of flame heating and time
Serial number
2-1
2-2
2-3
2-4
2-5
2-6
Temperature(˚C)
600
650
700
750
800
850
Time(min)
5
5
5
5
5
5
Results and discussion
Effect about the water content of release agent on the under surface depression
Table 3 The water content of release agent and the depression size
Serial numbe
1-1
1-2
1-3
1-4
1-5
1-6
Drying quality/g
17530
18340
18041
18720
18020
17836
After drying quality/g
17390
18180
18080
18500
17795
17615
Quality difference/g
140
160
181
220
225
231
Water content/%
1.11%
1.03%
0.89%
0.59%
0.40%
0.01%
Depression number
3
3
1
1
0
0
Depression size/mm
410*210
360*160
220*100
180*170
Table 3 shows that the water content of release agent effects on the under surface depression.
It is seen from Fig 3 that there are two peaks in the presence of wave number 3330 and 1640 cm-1 that are samples of 1-1, 1-2, 1-3 spectra.
Beacause of the batch of fine grain size which thermal resistance is also large, water can not be discharged from all internal in short time, which leads to the under surface depression of foam glass more seriously.
At this temperature, it happens crystal transition which is growing a large number of valentinite crystal phase.
Project number: 2012BAJ20B02-03 References [1] YingliangTian, YulinZou, FeiZhao, etc.
It is seen from Fig 3 that there are two peaks in the presence of wave number 3330 and 1640 cm-1 that are samples of 1-1, 1-2, 1-3 spectra.
Beacause of the batch of fine grain size which thermal resistance is also large, water can not be discharged from all internal in short time, which leads to the under surface depression of foam glass more seriously.
At this temperature, it happens crystal transition which is growing a large number of valentinite crystal phase.
Project number: 2012BAJ20B02-03 References [1] YingliangTian, YulinZou, FeiZhao, etc.
Online since: June 2014
Authors: I. Kathir, S. Balakrishnan, B.V. Manikandan
On the other hand, applications in hazardous locations include petrochemical and natural gas plants, while severe environment applications for induction motors include grain elevators, shredders, and equipment for coal plants.
A number of condition monitoring techniques for induction motors are available.
Dimensions of induction motor Dimensions Values Dimensions Values Number of poles 4 Width of stator teeth (Wts) 5 mm Number of slots 36 Width of stator slot (Wss) 5 mm Stator Inner Diameter (D) 119 mm Depth of stator core (dcs) 22 mm Stator Outer Diameter (D0) 203 mm Depth of stator slot (dss) 20 mm Stator Length 93 mm Length of Airgap 0.4 mm Number of turns per coil 59 Rotor Diameter 118 mm For most of the applications, it is sufficient to model a part of the entire crosssection of the induction motor.
Generated Meshes Fault Indicators The core loss of an induction motor depends on number of factors and one of the factors is the high frequency component of core loss.
where t product of the number of laminations and number of rotor teeth P1,t power loss in one lamination llam thickness of lamination lav average current path width Bn flux density value of the nth harmonic; fn frequency of the nth harmonic; B1 fundamental frequency flux density value the FE analysis calculates; f1 rotor frequency.
A number of condition monitoring techniques for induction motors are available.
Dimensions of induction motor Dimensions Values Dimensions Values Number of poles 4 Width of stator teeth (Wts) 5 mm Number of slots 36 Width of stator slot (Wss) 5 mm Stator Inner Diameter (D) 119 mm Depth of stator core (dcs) 22 mm Stator Outer Diameter (D0) 203 mm Depth of stator slot (dss) 20 mm Stator Length 93 mm Length of Airgap 0.4 mm Number of turns per coil 59 Rotor Diameter 118 mm For most of the applications, it is sufficient to model a part of the entire crosssection of the induction motor.
Generated Meshes Fault Indicators The core loss of an induction motor depends on number of factors and one of the factors is the high frequency component of core loss.
where t product of the number of laminations and number of rotor teeth P1,t power loss in one lamination llam thickness of lamination lav average current path width Bn flux density value of the nth harmonic; fn frequency of the nth harmonic; B1 fundamental frequency flux density value the FE analysis calculates; f1 rotor frequency.
Online since: April 2016
Authors: Krzysztof Grzelak, Janusz Torzewski, Lucjan Sniezek, Ireneusz Szachogluchowicz
A number of published papers is devoted to the heat treatment of Al-Ti sandwich laminates, aimed at reaching a relaxation of stresses caused by explosion welding.
Basic fatigue characteristics of the laminate were determined from the characteristic parameters of the loop, obtained at N/Nf = 0.5, where N is the current number of cycles and Nf - number of cycles until sample failure.
Graph of the change of the stress amplitude σa as a function of the number of cycles Nf To process the results of the test of hysteresis loop parameters (εac, εap and σa) fatigue strength corresponding to 0.5 Nf was introduced.
(3) Graph of fatigue life in logarithmic coordinates og ε-log 2Nf (Number of half-cycle reversals) is shown in Fig. 8.
The shape and dimensions of the recesses observed depend on the grain sizes and plastic properties of the material.
Basic fatigue characteristics of the laminate were determined from the characteristic parameters of the loop, obtained at N/Nf = 0.5, where N is the current number of cycles and Nf - number of cycles until sample failure.
Graph of the change of the stress amplitude σa as a function of the number of cycles Nf To process the results of the test of hysteresis loop parameters (εac, εap and σa) fatigue strength corresponding to 0.5 Nf was introduced.
(3) Graph of fatigue life in logarithmic coordinates og ε-log 2Nf (Number of half-cycle reversals) is shown in Fig. 8.
The shape and dimensions of the recesses observed depend on the grain sizes and plastic properties of the material.
Online since: May 2021
Authors: P. Kuznetsov, A. Zhukov, I. Shakirov, Vitaly Bobyr
As production develops dynamically, there are a number of problems that cannot be addressed through traditional approaches.
Due to ultrafast crystallization the produced parts have ultra fine-grained or amorphous structure.
The main reason for this can be considered the choice of modes with a large number of hatching passes in the layer of part (hatch = 0.23 mm).
The number of layers of coating powder was determined based on the required sector filling thickness.
Thus, it was possible to deposit 321L metal powder using the LENS method with the least number of defects (Fig. 11).
Due to ultrafast crystallization the produced parts have ultra fine-grained or amorphous structure.
The main reason for this can be considered the choice of modes with a large number of hatching passes in the layer of part (hatch = 0.23 mm).
The number of layers of coating powder was determined based on the required sector filling thickness.
Thus, it was possible to deposit 321L metal powder using the LENS method with the least number of defects (Fig. 11).
Online since: November 2013
Authors: Jaroslaw Piątkowski
It has also been found that strong overheating of alloy above Tliq "enhances" the process of modification, resulting in the formation of fine-grain structure.
Additionally, rapid heat transfer refines alloy structure, raising the number of potential substrates for heterogeneous nucleation of Si.
Additionally, rapid heat transfer refines alloy structure, raising the number of potential substrates for heterogeneous nucleation of Si.
Online since: May 2011
Authors: Min Zheng, Qing Wang, Zuo Shan Wang
Scan electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS) were used to determine the grain size, shape, degree of nitrogen incorporation and nature of the resultant oxynitride chemical bonding.
The most surprising is the change of the position and number of exothermic peaks.
The most surprising is the change of the position and number of exothermic peaks.
Online since: December 2012
Authors: Xuan Du, Jian Du, Yu Mei Li, Jin Shi Jian, Can Du
Introduction
In recent year, with the expanding of city size, a large number of farmland have been left uncultivated and the waste soil, rock ballast, household garbage and etc. increase year by year[1, 2]; meanwhile the number and scale of urban sewage plant have both increased gradually[3-6].
Firstly, culture pan were bored and numbered, loaded with a certain amount basis materials (straw 30g, wastes 100g) and weighed (four repetitions).
The prescriptions and water of 100g/pan were added into the soil in culture pan and till the end of infiltration, 15 grains of cotton seeds were placed on each pan and then covered with soil and then the pans were put into artificial climate box.
Number and size of the prehot peach of cotton (generally accounting for 20-30% of total yield) play a decisive role in the high yield and good quality.
Number and quality of the autumn peach of cotton (directly affecting cotton yield) are closely correlated to climatic conditions.
Firstly, culture pan were bored and numbered, loaded with a certain amount basis materials (straw 30g, wastes 100g) and weighed (four repetitions).
The prescriptions and water of 100g/pan were added into the soil in culture pan and till the end of infiltration, 15 grains of cotton seeds were placed on each pan and then covered with soil and then the pans were put into artificial climate box.
Number and size of the prehot peach of cotton (generally accounting for 20-30% of total yield) play a decisive role in the high yield and good quality.
Number and quality of the autumn peach of cotton (directly affecting cotton yield) are closely correlated to climatic conditions.